{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Skip-gram Word2Vec\n",
    "\n",
    "In this notebook, I'll lead you through using PyTorch to implement the [Word2Vec algorithm](https://en.wikipedia.org/wiki/Word2vec) using the skip-gram architecture. By implementing this, you'll learn about embedding words for use in natural language processing. This will come in handy when dealing with things like machine translation.\n",
    "\n",
    "## Readings\n",
    "\n",
    "Here are the resources I used to build this notebook. I suggest reading these either beforehand or while you're working on this material.\n",
    "\n",
    "* A really good [conceptual overview](http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/) of Word2Vec from Chris McCormick \n",
    "* [First Word2Vec paper](https://arxiv.org/pdf/1301.3781.pdf) from Mikolov et al.\n",
    "* [Neural Information Processing Systems, paper](http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf) with improvements for Word2Vec also from Mikolov et al.\n",
    "\n",
    "---\n",
    "## Word embeddings\n",
    "\n",
    "When you're dealing with words in text, you end up with tens of thousands of word classes to analyze; one for each word in a vocabulary. Trying to one-hot encode these words is massively inefficient because most values in a one-hot vector will be set to zero. So, the matrix multiplication that happens in between a one-hot input vector and a first, hidden layer will result in mostly zero-valued hidden outputs.\n",
    "\n",
    "To solve this problem and greatly increase the efficiency of our networks, we use what are called **embeddings**. Embeddings are just a fully connected layer like you've seen before. We call this layer the embedding layer and the weights are embedding weights. We skip the multiplication into the embedding layer by instead directly grabbing the hidden layer values from the weight matrix. We can do this because the multiplication of a one-hot encoded vector with a matrix returns the row of the matrix corresponding the index of the \"on\" input unit.\n",
    "\n",
    "<img src='assets/lookup_matrix.png' width=50%>\n",
    "\n",
    "Instead of doing the matrix multiplication, we use the weight matrix as a lookup table. We encode the words as integers, for example \"heart\" is encoded as 958, \"mind\" as 18094. Then to get hidden layer values for \"heart\", you just take the 958th row of the embedding matrix. This process is called an **embedding lookup** and the number of hidden units is the **embedding dimension**.\n",
    " \n",
    "There is nothing magical going on here. The embedding lookup table is just a weight matrix. The embedding layer is just a hidden layer. The lookup is just a shortcut for the matrix multiplication. The lookup table is trained just like any weight matrix.\n",
    "\n",
    "Embeddings aren't only used for words of course. You can use them for any model where you have a massive number of classes. A particular type of model called **Word2Vec** uses the embedding layer to find vector representations of words that contain semantic meaning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Word2Vec\n",
    "\n",
    "The Word2Vec algorithm finds much more efficient representations by finding vectors that represent the words. These vectors also contain semantic information about the words.\n",
    "\n",
    "<img src=\"assets/context_drink.png\" width=40%>\n",
    "\n",
    "Words that show up in similar **contexts**, such as \"coffee\", \"tea\", and \"water\" will have vectors near each other. Different words will be further away from one another, and relationships can be represented by distance in vector space.\n",
    "\n",
    "\n",
    "There are two architectures for implementing Word2Vec:\n",
    ">* CBOW (Continuous Bag-Of-Words) and \n",
    "* Skip-gram\n",
    "\n",
    "<img src=\"assets/word2vec_architectures.png\" width=60%>\n",
    "\n",
    "In this implementation, we'll be using the **skip-gram architecture** with **negative sampling** because it performs better than CBOW and trains faster with negative sampling. Here, we pass in a word and try to predict the words surrounding it in the text. In this way, we can train the network to learn representations for words that show up in similar contexts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Loading Data\n",
    "\n",
    "Next, we'll ask you to load in data and place it in the `data` directory\n",
    "\n",
    "1. Load the [text8 dataset](https://s3.amazonaws.com/video.udacity-data.com/topher/2018/October/5bbe6499_text8/text8.zip); a file of cleaned up *Wikipedia article text* from Matt Mahoney. \n",
    "2. Place that data in the `data` folder in the home directory.\n",
    "3. Then you can extract it and delete the archive, zip file to save storage space.\n",
    "\n",
    "After following these steps, you should have one file in your data directory: `data/text8`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " anarchism originated as a term of abuse first used against early working class radicals including t\n"
     ]
    }
   ],
   "source": [
    "# read in the extracted text file      \n",
    "with open('data/text8') as f:\n",
    "    text = f.read()\n",
    "\n",
    "# print out the first 100 characters\n",
    "print(text[:100])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-processing\n",
    "\n",
    "Here I'm fixing up the text to make training easier. This comes from the `utils.py` file. The `preprocess` function does a few things:\n",
    ">* It converts any punctuation into tokens, so a period is changed to ` <PERIOD> `. In this data set, there aren't any periods, but it will help in other NLP problems. \n",
    "* It removes all words that show up five or *fewer* times in the dataset. This will greatly reduce issues due to noise in the data and improve the quality of the vector representations. \n",
    "* It returns a list of words in the text.\n",
    "\n",
    "This may take a few seconds to run, since our text file is quite large. If you want to write your own functions for this stuff, go for it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against', 'early', 'working', 'class', 'radicals', 'including', 'the', 'diggers', 'of', 'the', 'english', 'revolution', 'and', 'the', 'sans', 'culottes', 'of', 'the', 'french', 'revolution', 'whilst']\n"
     ]
    }
   ],
   "source": [
    "import utils\n",
    "\n",
    "# get list of words\n",
    "words = utils.preprocess(text)\n",
    "print(words[:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total words in text: 16680599\n",
      "Unique words: 63641\n"
     ]
    }
   ],
   "source": [
    "# print some stats about this word data\n",
    "print(\"Total words in text: {}\".format(len(words)))\n",
    "print(\"Unique words: {}\".format(len(set(words)))) # `set` removes any duplicate words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dictionaries\n",
    "\n",
    "Next, I'm creating two dictionaries to convert words to integers and back again (integers to words). This is again done with a function in the `utils.py` file. `create_lookup_tables` takes in a list of words in a text and returns two dictionaries.\n",
    ">* The integers are assigned in descending frequency order, so the most frequent word (\"the\") is given the integer 0 and the next most frequent is 1, and so on. \n",
    "\n",
    "Once we have our dictionaries, the words are converted to integers and stored in the list `int_words`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5233, 3080, 11, 5, 194, 1, 3133, 45, 58, 155, 127, 741, 476, 10571, 133, 0, 27349, 1, 0, 102, 854, 2, 0, 15067, 58112, 1, 0, 150, 854, 3580]\n"
     ]
    }
   ],
   "source": [
    "vocab_to_int, int_to_vocab = utils.create_lookup_tables(words)\n",
    "int_words = [vocab_to_int[word] for word in words]\n",
    "\n",
    "print(int_words[:30])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subsampling\n",
    "\n",
    "Words that show up often such as \"the\", \"of\", and \"for\" don't provide much context to the nearby words. If we discard some of them, we can remove some of the noise from our data and in return get faster training and better representations. This process is called subsampling by Mikolov. For each word $w_i$ in the training set, we'll discard it with probability given by \n",
    "\n",
    "$$ P(w_i) = 1 - \\sqrt{\\frac{t}{f(w_i)}} $$\n",
    "\n",
    "where $t$ is a threshold parameter and $f(w_i)$ is the frequency of word $w_i$ in the total dataset.\n",
    "\n",
    "> Implement subsampling for the words in `int_words`. That is, go through `int_words` and discard each word given the probablility $P(w_i)$ shown above. Note that $P(w_i)$ is the probability that a word is discarded. Assign the subsampled data to `train_words`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[127, 10571, 27349, 15067, 58112, 190, 10712, 104, 2731, 371, 2757, 686, 7088, 5233, 320, 44611, 5233, 2621, 8983, 4147, 141, 6437, 4186, 153, 5233, 1137, 6, 4860, 6753, 7573]\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "import random\n",
    "import numpy as np\n",
    "\n",
    "threshold = 1e-5\n",
    "word_counts = Counter(int_words)\n",
    "#print(list(word_counts.items())[0])  # dictionary of int_words, how many times they appear\n",
    "\n",
    "total_count = len(int_words)\n",
    "freqs = {word: count/total_count for word, count in word_counts.items()}\n",
    "p_drop = {word: 1 - np.sqrt(threshold/freqs[word]) for word in word_counts}\n",
    "# discard some frequent words, according to the subsampling equation\n",
    "# create a new list of words for training\n",
    "train_words = [word for word in int_words if random.random() < (1 - p_drop[word])]\n",
    "\n",
    "print(train_words[:30])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making batches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that our data is in good shape, we need to get it into the proper form to pass it into our network. With the skip-gram architecture, for each word in the text, we want to define a surrounding _context_ and grab all the words in a window around that word, with size $C$. \n",
    "\n",
    "From [Mikolov et al.](https://arxiv.org/pdf/1301.3781.pdf): \n",
    "\n",
    "\"Since the more distant words are usually less related to the current word than those close to it, we give less weight to the distant words by sampling less from those words in our training examples... If we choose $C = 5$, for each training word we will select randomly a number $R$ in range $[ 1: C ]$, and then use $R$ words from history and $R$ words from the future of the current word as correct labels.\"\n",
    "\n",
    "> **Exercise:** Implement a function `get_target` that receives a list of words, an index, and a window size, then returns a list of words in the window around the index. Make sure to use the algorithm described above, where you chose a random number of words to from the window.\n",
    "\n",
    "Say, we have an input and we're interested in the idx=2 token, `741`: \n",
    "```\n",
    "[5233, 58, 741, 10571, 27349, 0, 15067, 58112, 3580, 58, 10712]\n",
    "```\n",
    "\n",
    "For `R=2`, `get_target` should return a list of four values:\n",
    "```\n",
    "[5233, 58, 10571, 27349]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_target(words, idx, window_size=5):\n",
    "    ''' Get a list of words in a window around an index. '''\n",
    "    \n",
    "    R = np.random.randint(1, window_size+1)\n",
    "    start = idx - R if (idx - R) > 0 else 0\n",
    "    stop = idx + R\n",
    "    target_words = words[start:idx] + words[idx+1:stop+1]\n",
    "    \n",
    "    return list(target_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input:  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
      "Target:  [3, 4, 6, 7]\n"
     ]
    }
   ],
   "source": [
    "# test your code!\n",
    "\n",
    "# run this cell multiple times to check for random window selection\n",
    "int_text = [i for i in range(10)]\n",
    "print('Input: ', int_text)\n",
    "idx=5 # word index of interest\n",
    "\n",
    "target = get_target(int_text, idx=idx, window_size=5)\n",
    "print('Target: ', target)  # you should get some indices around the idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generating Batches \n",
    "\n",
    "Here's a generator function that returns batches of input and target data for our model, using the `get_target` function from above. The idea is that it grabs `batch_size` words from a words list. Then for each of those batches, it gets the target words in a window."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_batches(words, batch_size, window_size=5):\n",
    "    ''' Create a generator of word batches as a tuple (inputs, targets) '''\n",
    "    \n",
    "    n_batches = len(words)//batch_size\n",
    "    \n",
    "    # only full batches\n",
    "    words = words[:n_batches*batch_size]\n",
    "    \n",
    "    for idx in range(0, len(words), batch_size):\n",
    "        x, y = [], []\n",
    "        batch = words[idx:idx+batch_size]\n",
    "        for ii in range(len(batch)):\n",
    "            batch_x = batch[ii]\n",
    "            batch_y = get_target(batch, ii, window_size)\n",
    "            y.extend(batch_y)\n",
    "            x.extend([batch_x]*len(batch_y))\n",
    "        yield x, y\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x\n",
      " [0, 1, 1, 1, 2, 2, 2, 3, 3, 3]\n",
      "y\n",
      " [1, 0, 2, 3, 0, 1, 3, 0, 1, 2]\n"
     ]
    }
   ],
   "source": [
    "int_text = [i for i in range(20)]\n",
    "x,y = next(get_batches(int_text, batch_size=4, window_size=5))\n",
    "\n",
    "print('x\\n', x)\n",
    "print('y\\n', y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Validation\n",
    "\n",
    "Here, I'm creating a function that will help us observe our model as it learns. We're going to choose a few common words and few uncommon words. Then, we'll print out the closest words to them using the cosine similarity: \n",
    "\n",
    "<img src=\"assets/two_vectors.png\" width=30%>\n",
    "\n",
    "$$\n",
    "\\mathrm{similarity} = \\cos(\\theta) = \\frac{\\vec{a} \\cdot \\vec{b}}{|\\vec{a}||\\vec{b}|}\n",
    "$$\n",
    "\n",
    "\n",
    "We can encode the validation words as vectors $\\vec{a}$ using the embedding table, then calculate the similarity with each word vector $\\vec{b}$ in the embedding table. With the similarities, we can print out the validation words and words in our embedding table semantically similar to those words. It's a nice way to check that our embedding table is grouping together words with similar semantic meanings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def cosine_similarity(embedding, valid_size=16, valid_window=100, device='cpu'):\n",
    "    \"\"\" Returns the cosine similarity of validation words with words in the embedding matrix.\n",
    "        Here, embedding should be a PyTorch embedding module.\n",
    "    \"\"\"\n",
    "    \n",
    "    # Here we're calculating the cosine similarity between some random words and \n",
    "    # our embedding vectors. With the similarities, we can look at what words are\n",
    "    # close to our random words.\n",
    "    \n",
    "    # sim = (a . b) / |a||b|\n",
    "    \n",
    "    embed_vectors = embedding.weight\n",
    "    \n",
    "    # magnitude of embedding vectors, |b|\n",
    "    magnitudes = embed_vectors.pow(2).sum(dim=1).sqrt().unsqueeze(0)\n",
    "    \n",
    "    # pick N words from our ranges (0,window) and (1000,1000+window). lower id implies more frequent \n",
    "    valid_examples = np.array(random.sample(range(valid_window), valid_size//2))\n",
    "    valid_examples = np.append(valid_examples,\n",
    "                               random.sample(range(1000,1000+valid_window), valid_size//2))\n",
    "    valid_examples = torch.LongTensor(valid_examples).to(device)\n",
    "    \n",
    "    valid_vectors = embedding(valid_examples)\n",
    "    similarities = torch.mm(valid_vectors, embed_vectors.t())/magnitudes\n",
    "        \n",
    "    return valid_examples, similarities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# SkipGram model\n",
    "\n",
    "Define and train the SkipGram model. \n",
    "> You'll need to define an [embedding layer](https://pytorch.org/docs/stable/nn.html#embedding) and a final, softmax output layer.\n",
    "\n",
    "An Embedding layer takes in a number of inputs, importantly:\n",
    "* **num_embeddings** – the size of the dictionary of embeddings, or how many rows you'll want in the embedding weight matrix\n",
    "* **embedding_dim** – the size of each embedding vector; the embedding dimension\n",
    "\n",
    "Below is an approximate diagram of the general structure of our network.\n",
    "<img src=\"assets/skip_gram_arch.png\" width=60%>\n",
    "\n",
    ">* The input words are passed in as batches of input word tokens. \n",
    "* This will go into a hidden layer of linear units (our embedding layer). \n",
    "* Then, finally into a softmax output layer. \n",
    "\n",
    "We'll use the softmax layer to make a prediction about the context words by sampling, as usual."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Negative Sampling\n",
    "\n",
    "For every example we give the network, we train it using the output from the softmax layer. That means for each input, we're making very small changes to millions of weights even though we only have one true example. This makes training the network very inefficient. We can approximate the loss from the softmax layer by only updating a small subset of all the weights at once. We'll update the weights for the correct example, but only a small number of incorrect, or noise, examples. This is called [\"negative sampling\"](http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf). \n",
    "\n",
    "There are two modifications we need to make. First, since we're not taking the softmax output over all the words, we're really only concerned with one output word at a time. Similar to how we use an embedding table to map the input word to the hidden layer, we can now use another embedding table to map the hidden layer to the output word. Now we have two embedding layers, one for input words and one for output words. Secondly, we use a modified loss function where we only care about the true example and a small subset of noise examples.\n",
    "\n",
    "$$\n",
    "- \\large \\log{\\sigma\\left(u_{w_O}\\hspace{0.001em}^\\top v_{w_I}\\right)} -\n",
    "\\sum_i^N \\mathbb{E}_{w_i \\sim P_n(w)}\\log{\\sigma\\left(-u_{w_i}\\hspace{0.001em}^\\top v_{w_I}\\right)}\n",
    "$$\n",
    "\n",
    "This is a little complicated so I'll go through it bit by bit. $u_{w_O}\\hspace{0.001em}^\\top$ is the embedding vector for our \"output\" target word (transposed, that's the $^\\top$ symbol) and $v_{w_I}$ is the embedding vector for the \"input\" word. Then the first term \n",
    "\n",
    "$$\\large \\log{\\sigma\\left(u_{w_O}\\hspace{0.001em}^\\top v_{w_I}\\right)}$$\n",
    "\n",
    "says we take the log-sigmoid of the inner product of the output word vector and the input word vector. Now the second term, let's first look at \n",
    "\n",
    "$$\\large \\sum_i^N \\mathbb{E}_{w_i \\sim P_n(w)}$$ \n",
    "\n",
    "This means we're going to take a sum over words $w_i$ drawn from a noise distribution $w_i \\sim P_n(w)$. The noise distribution is basically our vocabulary of words that aren't in the context of our input word. In effect, we can randomly sample words from our vocabulary to get these words. $P_n(w)$ is an arbitrary probability distribution though, which means we get to decide how to weight the words that we're sampling. This could be a uniform distribution, where we sample all words with equal probability. Or it could be according to the frequency that each word shows up in our text corpus, the unigram distribution $U(w)$. The authors found the best distribution to be $U(w)^{3/4}$, empirically. \n",
    "\n",
    "Finally, in \n",
    "\n",
    "$$\\large \\log{\\sigma\\left(-u_{w_i}\\hspace{0.001em}^\\top v_{w_I}\\right)},$$ \n",
    "\n",
    "we take the log-sigmoid of the negated inner product of a noise vector with the input vector. \n",
    "\n",
    "<img src=\"assets/neg_sampling_loss.png\" width=50%>\n",
    "\n",
    "To give you an intuition for what we're doing here, remember that the sigmoid function returns a probability between 0 and 1. The first term in the loss pushes the probability that our network will predict the correct word $w_O$ towards 1. In the second term, since we are negating the sigmoid input, we're pushing the probabilities of the noise words towards 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "import torch.optim as optim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class SkipGramNeg(nn.Module):\n",
    "    def __init__(self, n_vocab, n_embed, noise_dist=None):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.n_vocab = n_vocab\n",
    "        self.n_embed = n_embed\n",
    "        self.noise_dist = noise_dist\n",
    "        \n",
    "        # define embedding layers for input and output words\n",
    "        self.in_embed = nn.Embedding(n_vocab, n_embed)\n",
    "        self.out_embed = nn.Embedding(n_vocab, n_embed)\n",
    "        \n",
    "        # Initialize embedding tables with uniform distribution\n",
    "        # I believe this helps with convergence\n",
    "        self.in_embed.weight.data.uniform_(-1, 1)\n",
    "        self.out_embed.weight.data.uniform_(-1, 1)\n",
    "        \n",
    "    def forward_input(self, input_words):\n",
    "        input_vectors = self.in_embed(input_words)\n",
    "        return input_vectors\n",
    "    \n",
    "    def forward_output(self, output_words):\n",
    "        output_vectors = self.out_embed(output_words)\n",
    "        return output_vectors\n",
    "    \n",
    "    def forward_noise(self, batch_size, n_samples):\n",
    "        \"\"\" Generate noise vectors with shape (batch_size, n_samples, n_embed)\"\"\"\n",
    "        if self.noise_dist is None:\n",
    "            # Sample words uniformly\n",
    "            noise_dist = torch.ones(self.n_vocab)\n",
    "        else:\n",
    "            noise_dist = self.noise_dist\n",
    "            \n",
    "        # Sample words from our noise distribution\n",
    "        noise_words = torch.multinomial(noise_dist,\n",
    "                                        batch_size * n_samples,\n",
    "                                        replacement=True)\n",
    "        \n",
    "        device = \"cuda\" if model.out_embed.weight.is_cuda else \"cpu\"\n",
    "        noise_words = noise_words.to(device)\n",
    "        \n",
    "        noise_vectors = self.out_embed(noise_words).view(batch_size, n_samples, self.n_embed)\n",
    "        \n",
    "        return noise_vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class NegativeSamplingLoss(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "\n",
    "    def forward(self, input_vectors, output_vectors, noise_vectors):\n",
    "        \n",
    "        batch_size, embed_size = input_vectors.shape\n",
    "        \n",
    "        # Input vectors should be a batch of column vectors\n",
    "        input_vectors = input_vectors.view(batch_size, embed_size, 1)\n",
    "        \n",
    "        # Output vectors should be a batch of row vectors\n",
    "        output_vectors = output_vectors.view(batch_size, 1, embed_size)\n",
    "        \n",
    "        # bmm = batch matrix multiplication\n",
    "        # correct log-sigmoid loss\n",
    "        out_loss = torch.bmm(output_vectors, input_vectors).sigmoid().log()\n",
    "        out_loss = out_loss.squeeze()\n",
    "        \n",
    "        # incorrect log-sigmoid loss\n",
    "        noise_loss = torch.bmm(noise_vectors.neg(), input_vectors).sigmoid().log()\n",
    "        noise_loss = noise_loss.squeeze().sum(1)  # sum the losses over the sample of noise vectors\n",
    "\n",
    "        # negate and sum correct and noisy log-sigmoid losses\n",
    "        # return average batch loss\n",
    "        return -(out_loss + noise_loss).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Training\n",
    "\n",
    "Below is our training loop, and I recommend that you train on GPU, if available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 1/5\n",
      "Loss:  6.7322540283203125\n",
      "to | the, earth, barium, protection, and\n",
      "zero | the, and, in, of, one\n",
      "been | pathogen, competing, restored, advertising, demanded\n",
      "between | herman, junta, kenyatta, two, outsiders\n",
      "also | beowulf, creatures, recommendation, cooler, boundary\n",
      "it | the, that, confer, send, as\n",
      "a | make, of, harper, that, the\n",
      "all | studio, blubber, drawbacks, accidentally, autonomous\n",
      "quite | neighbours, once, casinos, stuttgart, monster\n",
      "instance | marcus, teeth, leon, peninsular, married\n",
      "report | in, festivals, member, backbone, strains\n",
      "pressure | khan, muni, bipolar, swimming, satellite\n",
      "know | unify, had, klara, shapeshifting, households\n",
      "stage | clark, mayor, yates, supplements, doubtful\n",
      "engineering | sacs, z, one, heaven, passes\n",
      "animals | concentration, flicks, silvertown, absorb, geologically\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  4.835074424743652\n",
      "his | in, the, a, of, as\n",
      "often | procurator, of, that, networks, established\n",
      "had | one, nine, which, zero, in\n",
      "many | of, which, rocks, with, two\n",
      "see | of, from, as, with, a\n",
      "and | the, a, to, of, in\n",
      "between | two, is, junta, neoliberalism, three\n",
      "people | with, in, for, alex, some\n",
      "construction | dutch, universiti, to, testament, atmospheres\n",
      "award | waqf, era, highway, by, bonding\n",
      "ocean | malthus, ubiquitous, regimens, who, transiting\n",
      "engine | unproductive, latina, zoe, by, battlefield\n",
      "quite | casinos, neighbours, once, portable, monster\n",
      "pope | comparison, coup, cheek, narrowly, mph\n",
      "event | soils, cdots, contingent, charlton, endless\n",
      "lived | disadvantage, saltwater, underwater, overview, donkeys\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  4.341375350952148\n",
      "when | to, for, by, an, they\n",
      "or | is, be, a, the, in\n",
      "only | by, in, to, be, as\n",
      "known | a, and, nine, were, one\n",
      "not | to, be, is, that, it\n",
      "about | to, and, is, of, his\n",
      "are | is, that, a, in, the\n",
      "in | the, and, of, a, to\n",
      "rise | fax, laws, hells, comedienne, colonize\n",
      "magazine | liberal, delirium, pivot, narnia, taboos\n",
      "ocean | malthus, zeppelins, size, accuses, ubiquitous\n",
      "dr | cleopatra, chojn, suburb, aviator, runways\n",
      "experience | thought, god, affluence, interdiction, an\n",
      "construction | dutch, pun, of, atmospheres, universiti\n",
      "instance | marcus, nevertheless, gash, conflict, festivals\n",
      "bible | babylonian, vibrates, fielded, cbt, guilbert\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.6369738578796387\n",
      "states | united, in, government, seven, state\n",
      "his | he, the, in, during, with\n",
      "many | most, by, of, the, from\n",
      "two | four, five, seven, zero, one\n",
      "about | of, the, and, in, zero\n",
      "war | had, united, the, one, of\n",
      "they | the, are, a, of, that\n",
      "eight | nine, one, seven, four, five\n",
      "police | elections, states, administration, economic, countries\n",
      "recorded | patass, toothed, mats, reuptake, d\n",
      "pressure | temperature, use, muni, where, can\n",
      "road | towns, volvo, gauge, hen, shakespearean\n",
      "http | www, software, selecting, links, large\n",
      "egypt | west, israel, european, hobbit, afghanistan\n",
      "alternative | wikis, imbedded, davenport, slowly, mingus\n",
      "institute | chocolates, summations, incurring, brushed, christianity\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.504284381866455\n",
      "is | a, the, such, to, of\n",
      "after | and, nine, one, was, the\n",
      "have | the, are, from, most, that\n",
      "nine | one, eight, four, seven, six\n",
      "may | of, with, their, the, and\n",
      "time | a, many, in, by, most\n",
      "see | of, by, are, and, is\n",
      "with | a, the, in, of, an\n",
      "creation | yet, god, world, since, thorns\n",
      "cost | systems, rate, blackened, expensive, taint\n",
      "something | knowledge, they, follow, question, comments\n",
      "existence | human, our, argument, teachings, principle\n",
      "smith | charles, american, william, richard, politician\n",
      "governor | charles, president, general, queen, executive\n",
      "police | united, courts, military, prisoners, u\n",
      "joseph | writer, ii, french, born, d\n",
      "...\n",
      "\n",
      "Epoch: 1/5\n",
      "Loss:  3.3184025287628174\n",
      "some | are, that, is, still, to\n",
      "more | these, are, which, to, or\n",
      "he | his, him, her, after, wife\n",
      "other | are, and, or, for, is\n",
      "th | century, history, west, five, roman\n",
      "however | to, the, which, some, that\n",
      "such | is, different, or, are, be\n",
      "would | to, was, they, him, did\n",
      "http | www, links, com, web, website\n",
      "creation | pushcha, since, they, to, beginning\n",
      "instance | can, not, functions, complex, value\n",
      "something | that, you, your, could, anything\n",
      "bible | hebrew, testament, christian, jewish, biblical\n",
      "bill | american, film, nine, george, singer\n",
      "file | format, user, files, software, computer\n",
      "quite | have, different, are, such, can\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.8340201377868652\n",
      "six | four, eight, seven, one, three\n",
      "can | be, or, techniques, types, using\n",
      "between | and, from, part, thus, the\n",
      "have | some, but, the, in, are\n",
      "war | military, forces, troops, killed, soviet\n",
      "from | into, and, which, the, in\n",
      "when | to, the, can, put, them\n",
      "history | links, see, external, list, and\n",
      "brother | wife, died, father, his, son\n",
      "mathematics | mathematical, theory, theories, science, theorem\n",
      "consists | are, or, note, and, terms\n",
      "event | football, ever, park, saw, ball\n",
      "experience | towards, effects, that, what, belief\n",
      "police | campaign, convicted, military, armed, party\n",
      "versions | classic, video, features, version, software\n",
      "egypt | dynasty, persian, east, empire, egyptian\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.5524561405181885\n",
      "were | with, became, heavy, was, in\n",
      "system | systems, code, computer, programs, using\n",
      "other | or, these, make, see, often\n",
      "over | a, and, has, there, or\n",
      "but | and, that, however, an, of\n",
      "was | had, after, victory, during, defeat\n",
      "states | united, military, u, state, armed\n",
      "during | was, in, first, the, s\n",
      "except | divided, or, and, some, is\n",
      "writers | works, fiction, literary, poets, published\n",
      "something | might, could, our, without, more\n",
      "road | city, street, park, east, washington\n",
      "governor | president, appointed, elected, cabinet, minister\n",
      "engine | engines, speed, models, cylinder, car\n",
      "san | university, california, los, college, santa\n",
      "frac | x, equation, f, mathbf, cdot\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.7377986907958984\n",
      "its | the, between, and, more, their\n",
      "was | he, had, daughter, days, of\n",
      "it | thus, be, can, into, a\n",
      "into | to, it, a, the, by\n",
      "new | university, city, york, history, college\n",
      "up | and, the, can, will, move\n",
      "or | non, to, are, a, these\n",
      "seven | one, eight, nine, four, zero\n",
      "engineering | engineers, systems, technology, electrical, electronics\n",
      "marriage | her, married, divorce, life, he\n",
      "pope | roman, papal, rome, leo, catholics\n",
      "shown | complex, finite, number, axis, above\n",
      "egypt | syria, persian, egyptian, cairo, sinai\n",
      "magazine | publishing, books, bbc, interview, career\n",
      "grand | des, paris, royal, north, st\n",
      "channel | satellite, radio, cable, coverage, broadcast\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.6995224952697754\n",
      "no | import, done, jargon, info, duplicate\n",
      "be | are, any, time, for, these\n",
      "four | five, three, two, six, nine\n",
      "five | four, six, three, zero, two\n",
      "their | and, the, themselves, to, or\n",
      "system | systems, data, programming, code, implementation\n",
      "the | in, of, by, and, to\n",
      "known | the, from, a, north, in\n",
      "square | kilometers, situated, located, near, county\n",
      "versions | computer, macintosh, version, feature, microsoft\n",
      "magazine | media, newspapers, fiction, bbc, publishing\n",
      "woman | her, she, husband, mother, birth\n",
      "shows | television, tv, genre, game, final\n",
      "assembly | elected, elections, legislative, cabinet, president\n",
      "bill | office, president, executive, bush, tony\n",
      "troops | army, military, war, armies, soviet\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.580954074859619\n",
      "to | the, and, when, a, as\n",
      "th | nd, century, one, zero, four\n",
      "has | are, other, or, as, include\n",
      "with | in, of, a, the, also\n",
      "zero | five, three, four, two, nine\n",
      "however | in, their, to, have, was\n",
      "if | we, will, must, so, be\n",
      "more | are, most, as, or, and\n",
      "dr | ed, four, story, bibliography, john\n",
      "recorded | album, recording, song, label, records\n",
      "engine | engines, cylinder, combustion, fuel, prototype\n",
      "rise | revolution, influence, thought, attempts, and\n",
      "award | awards, winners, best, awarded, fame\n",
      "issue | opinion, court, rejected, amendment, supreme\n",
      "pressure | heat, gas, effective, forcing, air\n",
      "versions | version, pc, macintosh, microsoft, os\n",
      "...\n",
      "\n",
      "Epoch: 2/5\n",
      "Loss:  2.7661571502685547\n",
      "a | which, and, to, the, or\n",
      "it | to, is, for, an, of\n",
      "for | and, with, it, a, which\n",
      "years | year, birth, months, death, female\n",
      "would | he, wanted, to, him, was\n",
      "however | to, some, during, it, occur\n",
      "five | one, six, two, eight, seven\n",
      "there | are, which, except, typically, in\n",
      "ice | winter, hockey, temperature, temperatures, lake\n",
      "pre | main, modern, see, millennium, early\n",
      "behind | left, told, hitting, driving, doors\n",
      "existence | defined, follows, interpretation, quantum, notion\n",
      "governor | appointed, prime, minister, john, elected\n",
      "scale | scales, temperature, flat, major, instruments\n",
      "account | potential, hypothesis, how, this, values\n",
      "freedom | political, accused, presidential, rights, social\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.850525379180908\n",
      "about | people, what, part, according, life\n",
      "zero | two, five, four, seven, eight\n",
      "more | are, than, a, its, the\n",
      "i | we, you, him, me, daughter\n",
      "up | down, their, to, the, from\n",
      "to | a, the, for, in, this\n",
      "d | b, laureate, politician, writer, actor\n",
      "were | their, had, forced, took, to\n",
      "something | we, you, want, sufficiently, feels\n",
      "marriage | married, marriages, marry, divorce, wife\n",
      "lived | died, throne, sons, his, mother\n",
      "pressure | temperature, heat, liquid, melting, pressures\n",
      "question | questions, ought, belief, argued, ethical\n",
      "channel | channels, cable, television, tv, radio\n",
      "report | reports, review, news, pdf, terrorist\n",
      "mainly | largest, ethnic, large, many, among\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.4977896213531494\n",
      "there | are, is, every, least, any\n",
      "which | a, is, it, to, be\n",
      "would | to, him, that, their, lose\n",
      "between | this, into, non, formed, characterized\n",
      "can | a, be, is, if, cannot\n",
      "with | the, to, or, a, some\n",
      "were | was, had, before, in, who\n",
      "who | his, married, he, friend, had\n",
      "liberal | liberals, party, liberalism, conservative, democracy\n",
      "engineering | technology, engineers, systems, university, education\n",
      "rise | massive, increasing, decline, wealth, depends\n",
      "prince | duke, son, princess, sir, elizabeth\n",
      "troops | army, forces, war, germans, armies\n",
      "san | francisco, diego, california, jose, santa\n",
      "dr | robert, lynn, eric, journal, musician\n",
      "discovered | discovery, found, observations, periodic, obtained\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.225531578063965\n",
      "or | are, is, to, all, other\n",
      "to | be, the, it, or, able\n",
      "seven | eight, nine, one, four, three\n",
      "have | be, were, and, to, some\n",
      "s | his, one, two, eight, nine\n",
      "world | most, the, cultural, war, race\n",
      "called | is, use, are, an, used\n",
      "where | n, t, to, left, above\n",
      "gold | silver, copper, metals, tin, diamonds\n",
      "frac | x, equation, cdot, mathbf, cos\n",
      "engine | engines, cylinder, fuel, piston, powered\n",
      "writers | philosophers, poets, novelists, deaths, literature\n",
      "numerous | in, regarding, other, many, led\n",
      "report | news, reports, links, cia, org\n",
      "joseph | john, william, born, benjamin, james\n",
      "ice | rock, frozen, hockey, snow, crush\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.6488029956817627\n",
      "b | d, k, r, n, y\n",
      "will | if, would, can, not, should\n",
      "from | the, of, in, and, with\n",
      "as | a, such, the, or, in\n",
      "known | and, the, of, was, roman\n",
      "he | his, him, himself, her, who\n",
      "an | which, the, it, on, is\n",
      "can | used, are, it, be, if\n",
      "freedom | social, rights, policies, political, promoting\n",
      "gold | silver, copper, metals, precious, timber\n",
      "issue | political, accepted, rejected, commentators, membership\n",
      "discovered | discovery, observations, experiments, astronomer, found\n",
      "nobel | prize, laureate, physicist, chemist, politician\n",
      "governor | secretary, president, appointed, appoints, senate\n",
      "ice | rock, crust, dry, frozen, rocks\n",
      "dr | starring, michael, ed, allen, his\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.487758159637451\n",
      "between | there, eastern, in, or, as\n",
      "years | zero, female, age, three, birth\n",
      "their | they, and, however, because, only\n",
      "may | are, usually, means, in, or\n",
      "over | the, under, zero, and, in\n",
      "known | th, by, the, also, in\n",
      "to | and, the, of, in, was\n",
      "at | in, was, england, near, he\n",
      "troops | forces, army, invasion, attack, invaded\n",
      "dr | nine, four, allen, poet, bibliography\n",
      "numerous | also, around, most, cited, and\n",
      "professional | football, fame, american, school, canadian\n",
      "construction | built, constructed, buildings, architectural, building\n",
      "scale | scales, tend, materials, technological, produce\n",
      "brother | son, daughter, cousin, sister, wife\n",
      "ice | hockey, rock, skating, crust, frozen\n",
      "...\n",
      "\n",
      "Epoch: 3/5\n",
      "Loss:  2.500605583190918\n",
      "have | their, are, this, were, there\n",
      "their | have, they, some, or, are\n",
      "use | such, these, applications, possible, used\n",
      "six | one, two, eight, five, zero\n",
      "but | it, or, be, the, that\n",
      "his | he, father, him, brother, son\n",
      "years | year, death, five, female, age\n",
      "they | their, to, however, so, would\n",
      "active | organized, radical, passive, bahasa, member\n",
      "mathematics | mathematical, mathematicians, euclid, sciences, math\n",
      "mean | n, mu, argument, variable, sin\n",
      "running | run, platform, address, runs, on\n",
      "alternative | music, for, slang, see, used\n",
      "channel | channels, cable, radio, broadcast, television\n",
      "shown | in, both, called, here, is\n",
      "ice | hockey, skating, glacier, frozen, winter\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.3018791675567627\n",
      "more | are, but, only, is, very\n",
      "its | the, from, of, is, has\n",
      "first | was, the, for, one, had\n",
      "which | is, it, in, the, also\n",
      "this | it, that, in, most, to\n",
      "th | century, nd, centuries, eight, period\n",
      "where | in, when, or, to, long\n",
      "three | two, one, four, zero, six\n",
      "orthodox | catholic, church, christians, christianity, orthodoxy\n",
      "award | awards, nomination, oscar, awarded, best\n",
      "bbc | weekly, august, listing, broadcasts, news\n",
      "accepted | believe, according, opinion, interpretation, questions\n",
      "recorded | album, song, songs, albums, date\n",
      "square | density, miles, length, mi, km\n",
      "troops | army, war, forces, armies, battle\n",
      "professional | football, team, baseball, teams, players\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.524277687072754\n",
      "of | in, and, the, by, s\n",
      "united | states, british, department, canada, countries\n",
      "in | of, and, the, was, from\n",
      "first | one, the, s, was, by\n",
      "his | he, him, himself, who, father\n",
      "see | of, is, history, in, links\n",
      "state | california, university, college, colorado, district\n",
      "has | the, in, which, to, with\n",
      "arts | school, art, schools, academy, technology\n",
      "mainly | widely, mostly, region, among, recent\n",
      "dr | michael, allen, ed, writer, richard\n",
      "smith | john, jr, adam, joe, mormon\n",
      "egypt | egyptian, bc, egyptians, arab, syria\n",
      "articles | links, org, dictionary, journal, discusses\n",
      "quite | have, more, are, usually, very\n",
      "ice | rock, temperatures, frozen, winter, surface\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.364931583404541\n",
      "state | absolute, of, energy, system, constant\n",
      "not | be, that, does, without, to\n",
      "they | their, those, for, but, are\n",
      "of | the, in, and, is, a\n",
      "was | his, had, s, in, after\n",
      "s | his, one, in, a, of\n",
      "people | who, native, ethnic, peoples, nation\n",
      "also | the, in, for, of, is\n",
      "shows | television, shown, wave, series, combination\n",
      "taking | following, result, last, year, the\n",
      "magazine | published, news, newspapers, interview, publications\n",
      "operations | operation, numbers, algebra, operational, numerical\n",
      "pre | historical, other, use, cultural, historic\n",
      "account | accounts, about, notes, that, value\n",
      "heavy | heavier, metal, smoke, guns, manufacture\n",
      "file | files, windows, format, unix, rom\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.3778340816497803\n",
      "where | it, at, and, not, all\n",
      "if | we, must, then, let, given\n",
      "after | until, the, during, by, was\n",
      "s | of, one, by, and, the\n",
      "may | or, does, not, that, the\n",
      "however | their, this, would, made, its\n",
      "was | were, the, by, had, to\n",
      "many | most, while, such, of, several\n",
      "smith | william, john, friedman, jr, j\n",
      "issue | official, ties, issues, advocate, accepted\n",
      "resources | information, directory, list, links, mining\n",
      "applied | materials, context, introduction, study, fundamental\n",
      "professional | sports, amateur, football, players, team\n",
      "running | platform, operating, larry, run, os\n",
      "test | tests, team, ground, unmanned, hazardous\n",
      "bbc | itv, broadcast, television, broadcasts, aired\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.4204654693603516\n",
      "is | are, the, or, a, an\n",
      "seven | one, five, three, four, six\n",
      "often | or, more, usually, sometimes, especially\n",
      "with | and, a, of, in, for\n",
      "when | would, before, to, was, he\n",
      "during | in, was, s, and, the\n",
      "the | in, a, to, of, and\n",
      "are | or, is, be, called, other\n",
      "universe | cosmology, bang, god, worlds, creator\n",
      "hit | hits, hitting, run, album, inning\n",
      "square | kilometers, adjacent, km, central, mi\n",
      "institute | university, research, science, college, institutes\n",
      "pressure | thrust, pressures, cooled, temperature, measures\n",
      "rise | decline, early, end, among, fall\n",
      "grand | prix, duke, prestigious, battle, ney\n",
      "gold | silver, metals, copper, precious, platinum\n",
      "...\n",
      "\n",
      "Epoch: 4/5\n",
      "Loss:  2.5025265216827393\n",
      "can | be, which, that, or, is\n",
      "in | the, of, by, and, which\n",
      "use | used, using, systems, these, uses\n",
      "and | the, of, in, a, to\n",
      "had | was, were, he, to, s\n",
      "known | by, a, in, is, an\n",
      "they | to, still, not, but, them\n",
      "a | the, which, or, is, and\n",
      "resources | information, source, management, natural, processing\n",
      "engine | engines, combustion, piston, fuel, turbine\n",
      "behind | doors, door, mask, race, car\n",
      "defense | military, defence, nato, training, armed\n",
      "mathematics | mathematical, mathematicians, algebra, geometry, euclid\n",
      "shown | is, the, seen, of, then\n",
      "prince | crown, princess, throne, regent, empress\n",
      "something | wrong, let, you, say, indeed\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.1604182720184326\n",
      "can | or, be, cannot, useful, if\n",
      "no | that, to, as, not, for\n",
      "a | with, the, as, is, by\n",
      "six | one, eight, four, seven, two\n",
      "state | democratic, of, states, government, president\n",
      "will | if, when, it, to, must\n",
      "between | of, the, are, which, within\n",
      "new | nine, s, three, history, york\n",
      "primarily | modern, such, used, include, and\n",
      "paris | france, french, jean, versailles, fran\n",
      "discovered | discovery, found, geologist, been, specimens\n",
      "liberal | conservative, liberalism, liberals, conservatives, social\n",
      "shown | effects, treatment, these, so, cancer\n",
      "heavy | vehicles, armoured, weapon, personnel, primarily\n",
      "hold | belief, all, doctrine, or, clearly\n",
      "pre | ancient, existed, see, millennium, archaeological\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.2580490112304688\n",
      "his | he, him, himself, who, father\n",
      "so | to, when, they, but, that\n",
      "system | systems, provide, types, tool, multi\n",
      "of | the, in, and, a, is\n",
      "is | a, which, are, the, of\n",
      "zero | two, four, five, nine, three\n",
      "war | troops, allied, army, forces, wwii\n",
      "from | and, the, of, in, as\n",
      "san | francisco, diego, california, santa, antonio\n",
      "ice | snow, temperature, rock, winter, rocks\n",
      "operating | unix, microsoft, user, multitasking, software\n",
      "operations | operation, intelligence, covert, terrorist, military\n",
      "assembly | elected, legislative, unicameral, president, elections\n",
      "question | argument, arguments, which, answers, questions\n",
      "pressure | liquid, temperature, boiling, heating, gas\n",
      "nobel | prize, laureate, physicist, chemist, recipient\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.550434112548828\n",
      "no | not, any, have, that, does\n",
      "eight | seven, five, nine, one, zero\n",
      "who | his, he, and, had, whom\n",
      "been | it, in, found, for, most\n",
      "at | the, in, from, five, four\n",
      "over | zero, one, the, three, four\n",
      "this | it, the, a, is, which\n",
      "on | in, a, the, s, for\n",
      "report | news, pdf, agency, review, cia\n",
      "shown | the, a, is, least, this\n",
      "units | unit, measured, si, density, measures\n",
      "recorded | recording, songs, records, period, year\n",
      "institute | university, college, universities, polytechnic, arts\n",
      "stage | movies, played, career, featured, hip\n",
      "lived | mother, life, briefly, she, and\n",
      "scale | scales, large, relative, measuring, magnitude\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.3859899044036865\n",
      "often | more, are, common, or, some\n",
      "s | one, three, and, was, of\n",
      "they | them, are, would, be, but\n",
      "its | the, an, in, from, which\n",
      "who | his, he, had, by, himself\n",
      "eight | nine, seven, four, one, five\n",
      "no | info, import, jargon, duplicate, done\n",
      "over | the, years, and, three, four\n",
      "dr | starring, nine, producer, michael, scientist\n",
      "defense | armed, defence, nato, military, agency\n",
      "pope | papal, church, catholic, gregory, papacy\n",
      "mainly | parts, largest, region, largely, were\n",
      "brother | son, daughter, wife, mother, consort\n",
      "account | accounts, critical, value, savings, debt\n",
      "engineering | electronics, technology, disciplines, engineers, technologies\n",
      "question | argument, whether, answers, how, reject\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.3489036560058594\n",
      "when | to, would, but, was, him\n",
      "where | at, to, in, he, the\n",
      "an | a, s, to, of, was\n",
      "may | or, are, be, to, as\n",
      "during | after, in, was, war, s\n",
      "were | was, had, to, on, the\n",
      "would | when, did, able, him, had\n",
      "by | in, the, was, and, a\n",
      "shown | usually, if, called, show, closely\n",
      "universe | cosmology, marvel, galaxy, worlds, creator\n",
      "square | kilometers, adjacent, km, east, area\n",
      "writers | novelists, fiction, deaths, births, literary\n",
      "brother | son, mother, sister, father, younger\n",
      "ice | hockey, temperatures, snow, temperature, frozen\n",
      "placed | should, stick, others, would, usually\n",
      "shows | tv, episodes, they, game, movies\n",
      "...\n",
      "\n",
      "Epoch: 5/5\n",
      "Loss:  2.3585071563720703\n",
      "more | some, than, as, both, often\n",
      "use | used, using, systems, these, uses\n",
      "about | this, have, up, that, zero\n",
      "at | the, in, on, s, of\n",
      "of | in, the, a, and, to\n",
      "and | the, to, of, a, in\n",
      "used | uses, use, and, other, a\n",
      "up | would, which, about, to, move\n",
      "mainly | include, largest, mostly, throughout, were\n",
      "mathematics | mathematical, mathematicians, algebra, calculus, algebraic\n",
      "arts | art, disciplines, martial, school, aikido\n",
      "institute | university, research, polytechnic, studies, museum\n",
      "grand | prix, at, masters, wins, duke\n",
      "paris | du, le, jean, france, des\n",
      "ocean | islands, pacific, atlantic, atolls, coral\n",
      "joseph | born, edward, b, james, chemist\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "\n",
    "# Get our noise distribution\n",
    "# Using word frequencies calculated earlier in the notebook\n",
    "word_freqs = np.array(sorted(freqs.values(), reverse=True))\n",
    "unigram_dist = word_freqs/word_freqs.sum()\n",
    "noise_dist = torch.from_numpy(unigram_dist**(0.75)/np.sum(unigram_dist**(0.75)))\n",
    "\n",
    "# instantiating the model\n",
    "embedding_dim = 300\n",
    "model = SkipGramNeg(len(vocab_to_int), embedding_dim, noise_dist=noise_dist).to(device)\n",
    "\n",
    "# using the loss that we defined\n",
    "criterion = NegativeSamplingLoss() \n",
    "optimizer = optim.Adam(model.parameters(), lr=0.003)\n",
    "\n",
    "print_every = 1500\n",
    "steps = 0\n",
    "epochs = 5\n",
    "\n",
    "# train for some number of epochs\n",
    "for e in range(epochs):\n",
    "    \n",
    "    # get our input, target batches\n",
    "    for input_words, target_words in get_batches(train_words, 512):\n",
    "        steps += 1\n",
    "        inputs, targets = torch.LongTensor(input_words), torch.LongTensor(target_words)\n",
    "        inputs, targets = inputs.to(device), targets.to(device)\n",
    "        \n",
    "        # input, output, and noise vectors\n",
    "        input_vectors = model.forward_input(inputs)\n",
    "        output_vectors = model.forward_output(targets)\n",
    "        noise_vectors = model.forward_noise(inputs.shape[0], 5)\n",
    "\n",
    "        # negative sampling loss\n",
    "        loss = criterion(input_vectors, output_vectors, noise_vectors)\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        # loss stats\n",
    "        if steps % print_every == 0:\n",
    "            print(\"Epoch: {}/{}\".format(e+1, epochs))\n",
    "            print(\"Loss: \", loss.item()) # avg batch loss at this point in training\n",
    "            valid_examples, valid_similarities = cosine_similarity(model.in_embed, device=device)\n",
    "            _, closest_idxs = valid_similarities.topk(6)\n",
    "\n",
    "            valid_examples, closest_idxs = valid_examples.to('cpu'), closest_idxs.to('cpu')\n",
    "            for ii, valid_idx in enumerate(valid_examples):\n",
    "                closest_words = [int_to_vocab[idx.item()] for idx in closest_idxs[ii]][1:]\n",
    "                print(int_to_vocab[valid_idx.item()] + \" | \" + ', '.join(closest_words))\n",
    "            print(\"...\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the word vectors\n",
    "\n",
    "Below we'll use T-SNE to visualize how our high-dimensional word vectors cluster together. T-SNE is used to project these vectors into two dimensions while preserving local stucture. Check out [this post from Christopher Olah](http://colah.github.io/posts/2014-10-Visualizing-MNIST/) to learn more about T-SNE and other ways to visualize high-dimensional data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# getting embeddings from the embedding layer of our model, by name\n",
    "embeddings = model.in_embed.weight.to('cpu').data.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "viz_words = 380\n",
    "tsne = TSNE()\n",
    "embed_tsne = tsne.fit_transform(embeddings[:viz_words, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f063bb46f28>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 902,
       "width": 943
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 16))\n",
    "for idx in range(viz_words):\n",
    "    plt.scatter(*embed_tsne[idx, :], color='steelblue')\n",
    "    plt.annotate(int_to_vocab[idx], (embed_tsne[idx, 0], embed_tsne[idx, 1]), alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
